Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
FM放送とマルチパスを適応フィルタで極めてみた / Solving multipath dis...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Kenji Rikitake
January 16, 2020
Technology
3.9k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
FM放送とマルチパスを適応フィルタで極めてみた / Solving multipath distortion of FM broadcast by adaptive filters
さくらの夕べ 研究所ナイト 2020年1月16日 発表原稿
Kenji Rikitake
January 16, 2020
More Decks by Kenji Rikitake
See All by Kenji Rikitake
SDR Implementation of Analog FM Broadcast Multipath Filter
jj1bdx
0
960
インターネットとオープンな無線技術の今後 / Future of Internet and Open Radio Engineering
jj1bdx
0
1.3k
ソフトウェアラジオとC++ そしてFMエアチェックのための信号解析と数値計算にまつわるよもやま話 / Software radio and C++
jj1bdx
0
1.2k
SDR時代のFM受信 マルチパスモニタとマルチパスフィルタ / FM broadcast reception with SDR - multipath monitor and multipath filter
jj1bdx
0
740
How I discover a working implementation of clock_nanosleep() for macOS in CPAN Time::Hires
jj1bdx
1
1.4k
Sleeping pays / 1000eng-74th-jj1bdx
jj1bdx
1
75
The BEAM Programming Paradigm
jj1bdx
1
1.1k
Safe randomness: theory and practice
jj1bdx
1
1.5k
ただの失業したインターネット屋は果たして独立開業できたのか? / Did the fired internet engineer finally start up his business successfully as an independent consultant?
jj1bdx
1
480
Other Decks in Technology
See All in Technology
実践が先生だった— 新卒サーバーエンジニア1年目のリアル
mixi_engineers
PRO
0
220
AIがコードを書く時代、人間は何を保証するのか———馬場さんと考える、開発者に求められる新しい責任と価値 - TECH PLAY
netmarkjp
0
1k
事業成長とAI活用を止めないデータ基盤アーキテクチャの設計思想
hiracky16
0
790
コンポーネント名には何を含めるべきなのか? / what-should-be-included-in-component-names
airrnot1106
0
230
AIQAのナレッジ構築について
qatonchan
1
140
オートマトンと字句解析でRoslynを読む
tomokusaba
0
130
数値で見る Microsoft MVP 〜Spec Kit と GitHub Copilot Agent で作るデータ可視化ダッシュボード〜
yutakaosada
0
180
Claude Mythos、Fable...フロンティアAIの最新動向と企業のセキュリティ対策
flatt_security
0
180
AIツールを導入しても生産性はあがらない? カオナビが直面した 3つの壁と乗り越え方。/ Overcoming 3 Barriers to AI-Driven Productivity at kaonavi
kaonavi
0
1.3k
信頼できるテスティングAIをどう育てるか?
odan611
0
180
『三匹の子ぶた』から学ぶネットワークセキュリティの昔と今 / Network Security: Then and Now Through the Lens of The Three Little Pigs
nttcom
1
680
個人OSSが、机の上から世界に広がるまでの話
shinyasaita
1
200
Featured
See All Featured
Joys of Absence: A Defence of Solitary Play
codingconduct
1
420
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
190
Music & Morning Musume
bryan
47
7.3k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Principles of Awesome APIs and How to Build Them.
keavy
128
18k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
370
Visualization
eitanlees
152
17k
Code Review Best Practice
trishagee
74
20k
BBQ
matthewcrist
89
10k
Rebuilding a faster, lazier Slack
samanthasiow
85
9.6k
How to Ace a Technical Interview
jacobian
281
24k
4 Signs Your Business is Dying
shpigford
187
22k
Transcript
FM์ૹͱϚϧνύεΛ దԠϑΟϧλͰۃΊͯΈͨ Kenji Rikitake / Sakura Lab Night 16-JAN-2020 1
Kenji Rikitake Γ͖͚ͨ ͚Μ͡ ྗ ݈࣍ 16-JAN-2020 ͘͞Βͷ༦ ݚڀॴφΠτ Sakura
Internet Fukuoka Office Fukuoka City, Fukuoka, Japan @jj1bdx Kenji Rikitake / Sakura Lab Night 16-JAN-2020 2
ٕज़࢜ʢใֶ෦ʣ ྗ݈ٕ࣍ज़࢜ࣄॴ ॴ ϖύϘݚڀॴ ٬һݚڀһ ΞϚνϡΞແઢྺ 44 Kenji Rikitake /
Sakura Lab Night 16-JAN-2020 3
FM์ૹϚϧνύεׯবͰԻ͕Ԛ͘ͳΔ • ෳܦ࿏ͷࣹ͕߹͞Εͯܗ͕ཚΕΔ • ৼ෯Ұఆͷ͕ͣৼ෯͕มԽ͢Δ • ৼ෯ͷมԽଈࠁҐ૬ͷΈ • Ґ૬͕ΉͱͱͯෆշͳԻ͕͢Δ Kenji
Rikitake / Sakura Lab Night 16-JAN-2020 4
Kenji Rikitake / Sakura Lab Night 16-JAN-2020 5
͍͚ͬͯͳ͍͜ͱ ৼ෯Ұఆʹڧ੍ͯ͠Έফ͑ͳ͍! Ϧϛολແҙຯ Kenji Rikitake / Sakura Lab Night 16-JAN-2020
6
ݪཧʹ࣮ʹߟ͑Δ ෳͷԆ৴߸͕ׯব͍ͯ͠ΔͷͰ͋Εɺ ͦͷׯবͷٯԋࢉΛߦͬͯऔΓআ͘ Kenji Rikitake / Sakura Lab Night 16-JAN-2020
7
Kenji Rikitake / Sakura Lab Night 16-JAN-2020 8
Kenji Rikitake / Sakura Lab Night 16-JAN-2020 9
ϚϧνύεׯবҎલͷঢ়ଶʹ͢ʹ • ԆͱՃࢉFIRϑΟϧλͰ࣮ݱͰ͖Δ • ࣹͷٯԋࢉΛΕΑ͍ • LMS๏ͰదԠϑΟϧλΛܾఆ • ͷܾఆ݅: ৼ෯Ұఆʹ͢
Kenji Rikitake / Sakura Lab Night 16-JAN-2020 10
దԠϑΟϧλͷ࣮ྫ 1980ʹจൃද 1 ྛًࢯʹΑΔFMDDC-3 ྗʹΑΔairspy-fmradion 1 ݄ ࢤ, Ӌௗ ޫढ़,
దԠσΟδλϧϑΟϧλʹΑΔFMϚϧνύεͻͣΈࣗಈআڈͷҰํࣜ, ςϨϏδϣϯֶձࢽ, 1985, 39 ר, 3 ߸, p. 228-234, ެ։ 2011/03/14, Online ISSN 1884-9652, Print ISSN 0386-6831, h>ps:/ /doi.org/ 10.3169/itej1978.39.228, h>ps:/ /www.jstage.jst.go.jp/arHcle/itej1978/39/3/39_3_228/_arHcle/-char/ja Kenji Rikitake / Sakura Lab Night 16-JAN-2020 11
దԠϑΟϧλΛVOLKͰ࠷దԽ • ίϯύΠϥʹͤΔͱݶք͕͋Δ • VOLK: SIMD໋ྩద༻ϥΠϒϥϦ h-p:/ /libvolk.org/ • ϧʔϓͰॲཧͰ͖ΔͷΛSIMDʹ͢Δ
• ੵԋࢉ6ഒͷߴԽ2 2 Kaby Lake, volk_32fc_x2_dot_prod_32fc(), generic -> u_avx_fma Kenji Rikitake / Sakura Lab Night 16-JAN-2020 12
#if !VOLK for (unsigned int i = 0; i <
m_filter_order; i++) { output += m_state[i] * m_coeff[i]; } #else // VOLK volk_32fc_x2_dot_prod_32fc(&output, m_state.data(), m_coeff.data(), m_filter_order); #endif // VOLK Kenji Rikitake / Sakura Lab Night 16-JAN-2020 13
ྗͷ࣮: airspy-fmradion Airspy HF+RTL-SDRͱMacRaspberry PiͷΈ߹ΘͤͰಈ࡞ ߴڃFMνϡʔφʹඖఢ FMԕڑड৴ʹޮՌ ઈࢍ։ൃத h"ps:/ /github.com/jj1bdx/airspy-fmradion
Kenji Rikitake / Sakura Lab Night 16-JAN-2020 14
Thank you Graphics credits: • Audacity simula.on: Kenji Rikitake •
Mul.path impulse response: I, Cantalamessa, h>ps:/ / commons.wikimedia.org/wiki/ File:Mul.path_impulse_response.png from Wikimedia Commons, licensed CC BY 2.5 Kenji Rikitake / Sakura Lab Night 16-JAN-2020 15